Abstract
As a kind of new green renewable energy, wind power is being paid more attention to by the countries in the world. Wind energy resource is rich in Hebei Province, and wind energy has great potential, so it is important for energy sustainable development, harmonious development of social economy and ecological environment to develop and utilize wind power in Hebei Province. In order to analyze the wind power industry competitiveness in Hebei Province scientifically and accurately, this paper introduced the tree-structured growing self-organizing map network (TGSMN) into the spatial data mining (SDM) to be used in spatial clustering. This method not only can make up the limitation of the more data limit and biggish computation in the common spatial data mining, but overcome the restriction of traditional maps that must appoint in advance. The wind power industry competitiveness evaluation in Hebei Province showed that the results given by this method are reliable.
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